Merge pull request #15 from zonca/almxfl

bugfix and almxfl

python/libsharp/libsharp.pxd

@@ -1,5 +1,4 @@
 cdef extern from "sharp.h":
-    ctypedef long ptrdiff_t
 
     void sharp_legendre_transform_s(float *bl, float *recfac, ptrdiff_t lmax, float *x,
                                     float *out, ptrdiff_t nx)
@@ -11,7 +10,19 @@ cdef extern from "sharp.h":
 
     # sharp_lowlevel.h
     ctypedef struct sharp_alm_info:
-        pass
+      # Maximum \a l index of the array
+      int lmax
+      # Number of different \a m values in this object
+      int nm
+      # Array with \a nm entries containing the individual m values
+      int *mval
+      # Combination of flags from sharp_almflags
+      int flags
+      # Array with \a nm entries containing the (hypothetical) indices of
+      #   the coefficients with quantum numbers 0,\a mval[i]
+      long *mvstart
+      # Stride between a_lm and a_(l+1),m
+      long stride
 
     ctypedef struct sharp_geom_info:
         pass

python/libsharp/libsharp.pyx

@@ -1,4 +1,5 @@
 import numpy as np
+cimport numpy as np
 cimport cython
 
 __all__ = ['legendre_transform', 'legendre_roots', 'sht', 'synthesis', 'adjoint_synthesis',
@@ -62,7 +63,8 @@ def sht(jobtype, geom_info ginfo, alm_info ainfo, double[:, :, ::1] input,
     cdef int r
     cdef sharp_jobtype jobtype_i
     cdef double[:, :, ::1] output_buf
-    cdef int ntrans = input.shape[0] * input.shape[1]
+    cdef int ntrans = input.shape[0]
+    cdef int ntotcomp = ntrans * input.shape[1]
     cdef int i, j
 
     if spin == 0 and input.shape[1] != 1:
@@ -71,9 +73,9 @@ def sht(jobtype, geom_info ginfo, alm_info ainfo, double[:, :, ::1] input,
         raise ValueError('For spin != 0, we need input.shape[1] == 2')
 
 
-    cdef size_t[::1] ptrbuf = np.empty(2 * ntrans, dtype=np.uintp)
+    cdef size_t[::1] ptrbuf = np.empty(2 * ntotcomp, dtype=np.uintp)
     cdef double **alm_ptrs = <double**>&ptrbuf[0]
-    cdef double **map_ptrs = <double**>&ptrbuf[ntrans]
+    cdef double **map_ptrs = <double**>&ptrbuf[ntotcomp]
 
     try:
         jobtype_i = JOBTYPE_TO_CONST[jobtype]
@@ -230,11 +232,62 @@ cdef class alm_info:
             raise NotInitializedError()
         return sharp_alm_count(self.ainfo)
 
+    def mval(self):
+        if self.ainfo == NULL:
+            raise NotInitializedError()
+        return np.asarray(<int[:self.ainfo.nm]> self.ainfo.mval)
+
+    def mvstart(self):
+        if self.ainfo == NULL:
+            raise NotInitializedError()
+        return np.asarray(<long[:self.ainfo.nm]> self.ainfo.mvstart)
+
     def __dealloc__(self):
         if self.ainfo != NULL:
             sharp_destroy_alm_info(self.ainfo)
         self.ainfo = NULL
 
+    @cython.boundscheck(False)
+    def almxfl(self, np.ndarray[double, ndim=3, mode='c'] alm, np.ndarray[double, ndim=2, mode='c'] fl):
+        """Multiply Alm by a Ell based array
+
+
+        Parameters
+        ----------
+        alm : np.ndarray
+            input alm, 3 dimensions = (different signal x polarizations x lm-ordering)
+        fl : np.ndarray
+            either 1 dimension, e.g. gaussian beam, or 2 dimensions e.g. a polarized beam
+
+        Returns
+        -------
+        None, it modifies alms in-place
+
+        """
+        cdef int mvstart = 0
+        cdef bint has_multiple_beams = alm.shape[2] > 1 and fl.shape[1] > 1
+        cdef int f, i_m, m, num_ells, i_l, i_signal, i_pol, i_mv
+
+        for i_m in range(self.ainfo.nm):
+            m = self.ainfo.mval[i_m]
+            f = 1 if (m==0) else 2
+            num_ells = self.ainfo.lmax + 1 - m
+
+            if not has_multiple_beams:
+                for i_signal in range(alm.shape[0]):
+                    for i_pol in range(alm.shape[1]):
+                        for i_l in range(num_ells):
+                            l = m + i_l
+                            for i_mv in range(mvstart + f*i_l, mvstart + f*i_l +f):
+                                alm[i_signal, i_pol, i_mv] *= fl[l, 0]
+            else:
+                for i_signal in range(alm.shape[0]):
+                    for i_pol in range(alm.shape[1]):
+                        for i_l in range(num_ells):
+                            l = m + i_l
+                            for i_mv in range(mvstart + f*i_l, mvstart + f*i_l +f):
+                                alm[i_signal, i_pol, i_mv] *= fl[l, i_pol]
+            mvstart += f * num_ells
 
 cdef class triangular_order(alm_info):
     def __init__(self, int lmax, mmax=None, stride=1):

python/libsharp/tests/test_sht.py

@@ -1,7 +1,4 @@
 import numpy as np
-import healpy
-from scipy.special import legendre
-from scipy.special import p_roots
 from numpy.testing import assert_allclose
 import libsharp
 
@@ -28,7 +25,8 @@ def test_basic():
     map = libsharp.synthesis(grid, order, np.repeat(alm[None, None, :], 3, 0), comm=MPI.COMM_WORLD)
     assert np.all(map[2, :] == map[1, :]) and np.all(map[1, :] == map[0, :])
     map = map[0, 0, :]
-    if rank == 0:
-        healpy.mollzoom(map)
-        from matplotlib.pyplot import show
-        show()
+    print(rank, "shape", map.shape)
+    print(rank, "mean", map.mean())
+
+if __name__=="__main__":
+    test_basic()

python/libsharp/tests/test_smoothing_noise_pol_mpi.py

@@ -0,0 +1,137 @@
+# This test needs to be run with:
+
+# mpirun -np X python test_smoothing_noise_pol_mpi.py
+
+from mpi4py import MPI
+
+import numpy as np
+
+import healpy as hp
+
+import libsharp
+
+mpi = True
+rank = MPI.COMM_WORLD.Get_rank()
+
+nside = 256
+npix = hp.nside2npix(nside)
+
+np.random.seed(100)
+input_map = np.random.normal(size=(3, npix))
+fwhm_deg = 10
+lmax = 512
+
+nrings = 4 * nside - 1  # four missing pixels
+
+if rank == 0:
+    print("total rings", nrings)
+
+n_mpi_processes = MPI.COMM_WORLD.Get_size()
+rings_per_process = nrings // n_mpi_processes + 1
+# ring indices are 1-based
+
+ring_indices_emisphere = np.arange(2*nside, dtype=np.int32) + 1
+local_ring_indices = ring_indices_emisphere[rank::n_mpi_processes]
+
+# to improve performance, simmetric rings north/south need to be in the same rank
+# therefore we use symmetry to create the full ring indexing
+
+if local_ring_indices[-1] == 2 * nside:
+    # has equator ring
+    local_ring_indices = np.concatenate(
+      [local_ring_indices[:-1],
+       nrings - local_ring_indices[::-1] + 1]
+    )
+else:
+    # does not have equator ring
+    local_ring_indices = np.concatenate(
+      [local_ring_indices,
+       nrings - local_ring_indices[::-1] + 1]
+    )
+
+print("rank", rank, "n_rings", len(local_ring_indices))
+
+if not mpi:
+    local_ring_indices = None
+grid = libsharp.healpix_grid(nside, rings=local_ring_indices)
+
+# returns start index of the ring and number of pixels
+startpix, ringpix, _, _, _ = hp.ringinfo(nside, local_ring_indices.astype(np.int64))
+
+local_npix = grid.local_size()
+
+def expand_pix(startpix, ringpix, local_npix):
+    """Turn first pixel index and number of pixel in full array of pixels
+
+    to be optimized with cython or numba
+    """
+    local_pix = np.empty(local_npix, dtype=np.int64)
+    i = 0
+    for start, num in zip(startpix, ringpix):
+        local_pix[i:i+num] = np.arange(start, start+num)
+        i += num
+    return local_pix
+
+local_pix = expand_pix(startpix, ringpix, local_npix)
+
+local_map = input_map[:, local_pix]
+
+local_hitmap = np.zeros(npix)
+local_hitmap[local_pix] = 1
+hp.write_map("hitmap_{}.fits".format(rank), local_hitmap, overwrite=True)
+
+print("rank", rank, "npix", npix, "local_npix", local_npix, "local_map len", len(local_map), "unique pix", len(np.unique(local_pix)))
+
+local_m_indices = np.arange(rank, lmax + 1, MPI.COMM_WORLD.Get_size(), dtype=np.int32)
+if not mpi:
+    local_m_indices = None
+
+order = libsharp.packed_real_order(lmax, ms=local_m_indices) 
+local_nl = order.local_size()
+print("rank", rank, "local_nl", local_nl, "mval", order.mval())
+
+mpi_comm = MPI.COMM_WORLD if mpi else None
+
+# map2alm
+# maps in libsharp are 3D, 2nd dimension is IQU, 3rd is pixel
+
+alm_sharp_I = libsharp.analysis(grid, order,
+                                np.ascontiguousarray(local_map[0].reshape((1, 1, -1))),
+                                spin=0, comm=mpi_comm)
+alm_sharp_P = libsharp.analysis(grid, order,
+                                np.ascontiguousarray(local_map[1:].reshape((1, 2, -1))),
+                                spin=2, comm=mpi_comm)
+
+beam = hp.gauss_beam(fwhm=np.radians(fwhm_deg), lmax=lmax, pol=True)
+
+print("Smooth")
+# smooth in place (zonca implemented this function)
+order.almxfl(alm_sharp_I, np.ascontiguousarray(beam[:, 0:1]))
+order.almxfl(alm_sharp_P, np.ascontiguousarray(beam[:, (1, 2)]))
+
+# alm2map
+
+new_local_map_I = libsharp.synthesis(grid, order, alm_sharp_I, spin=0, comm=mpi_comm)
+new_local_map_P = libsharp.synthesis(grid, order, alm_sharp_P, spin=2, comm=mpi_comm)
+
+# Transfer map to first process for writing
+
+local_full_map = np.zeros(input_map.shape, dtype=np.float64)
+local_full_map[0, local_pix] = new_local_map_I
+local_full_map[1:, local_pix] = new_local_map_P
+
+output_map = np.zeros(input_map.shape, dtype=np.float64) if rank == 0 else None
+mpi_comm.Reduce(local_full_map, output_map, root=0, op=MPI.SUM)
+
+if rank == 0:
+    # hp.write_map("sharp_smoothed_map.fits", output_map, overwrite=True)
+    # hp_smoothed = hp.alm2map(hp.map2alm(input_map, lmax=lmax), nside=nside) # transform only
+    hp_smoothed = hp.smoothing(input_map, fwhm=np.radians(fwhm_deg), lmax=lmax)
+    std_diff = (hp_smoothed-output_map).std()
+    print("Std of difference between libsharp and healpy", std_diff)
+    # hp.write_map(
+    #     "healpy_smoothed_map.fits",
+    #     hp_smoothed,
+    #     overwrite=True
+    # )
+    assert std_diff < 1e-5

python/setup.py

@@ -27,7 +27,7 @@
 sys.path.append(os.path.join(project_path, 'fake_pyrex'))
 
 from setuptools import setup, find_packages, Extension
-from Cython.Distutils import build_ext
+from Cython.Build import cythonize
 import numpy as np
 
 libsharp = os.environ.get('LIBSHARP', None)
@@ -64,21 +64,20 @@
               'Intended Audience :: Science/Research',
               'License :: OSI Approved :: GNU General Public License (GPL)',
               'Topic :: Scientific/Engineering'],
-          cmdclass = {"build_ext": build_ext},
-          ext_modules = [
+          ext_modules = cythonize([
               Extension("libsharp.libsharp",
                         ["libsharp/libsharp.pyx"],
                         libraries=["sharp", "fftpack", "c_utils"],
-                        include_dirs=[libsharp_include],
+                        include_dirs=[libsharp_include, np.get_include()],
                         library_dirs=[libsharp_lib],
                         extra_link_args=["-fopenmp"],
               ),
               Extension("libsharp.libsharp_mpi",
                         ["libsharp/libsharp_mpi.pyx"],
                         libraries=["sharp", "fftpack", "c_utils"],
-                        include_dirs=[libsharp_include],
+                        include_dirs=[libsharp_include, np.get_include()],
                         library_dirs=[libsharp_lib],
                         extra_link_args=["-fopenmp"],
               ),
-              ],
+              ]),
           )